Abstract

Aerated concrete (AC) is widely used in the construction industry due to lightweight and advanced thermal properties. In this research, thermal conductivity (λ) of non-autoclaved AC was characterized with Response Surface Methodology (RSM). The effect of fine aggregates with different Al2O3 contents on the minimal λ value was analyzed using RSM. Test results show that sand with higher Al2O3 content has more influence on lower λ of AC. The regression models were significant and applicable to analyzation and prediction of λ of AC with good accuracy.

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